| 학회 |
한국화학공학회 |
| 학술대회 |
2009년 봄 (04/23 ~ 04/24, 광주 김대중컨벤션센터) |
| 권호 |
15권 1호, p.154 |
| 발표분야 |
공정시스템 |
| 제목 |
Process Real-Time Optimization using evolutionary improvementalgorithm with data-driven modeling method |
| 초록 |
A conventional real-time optimization (RTO) system has difficulties to deal with the higher frequency disturbances because the steady-state should be achieved to utilize RTO. Since a conventional RTO is a model-basedapproach, the performance of RTO is highly dependent on the process complexity. The proposed RTO system using evolutionary improvement algorithm needs not to wait for the steady-state and corrects the set-points continuously through genetic algorithm to find optimal points. And to mitigate the complexities, the proposed system makes a application of the data-driven modeling method which is adequate for processes. |
| 저자 |
김승혁, 윤인섭
|
| 소속 |
서울대 |
| 키워드 |
Real-Time Optimization; data-driven modeling
|
| E-Mail |
|
| 원문파일 |
초록 보기 |
